Defect prediction over software life cycle in automotive domain state of the art and road map for future

Software today provides an important and vital role in providing the functionality and user experience in automotive domain. With ever increasing size and complexity of software together with high demands on quality and dependability, managing software development process effectively is an important challenge. Methods of software defect predictions provide useful information for optimal resource allocation and release planning; they also help track and model software and system reliability. In this paper we present an overview of defect prediction methods and their applicability in different software lifecycle phases in the automotive domain. Based on the overview and current trends we identify that close monitoring of in-service performance of software based systems will provide useful feedback to software development teams and allow them to develop more robust and user friendly systems.